Towards Generating Software Systems From Legacy Code: Gathering Associations From Smalltalk Software
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00384694" target="_blank" >RIV/68407700:21240/20:00384694 - isvavai.cz</a>
Výsledek na webu
<a href="https://ceur-ws.org/Vol-2825/paper5.pdf" target="_blank" >https://ceur-ws.org/Vol-2825/paper5.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Towards Generating Software Systems From Legacy Code: Gathering Associations From Smalltalk Software
Popis výsledku v původním jazyce
Generating programming code out of models is a useful approach towards maintainable software systems, yet legacy systems have often no models at all. There are multiple ways to partially automate or aid the process of generating models out of legacy code, yet there is one kind of object-oriented programming languages substantially harder to transform – dynamically typed languages. While statically typed languages enforce programmers to explicitly state the data types of various elements, dynamically typed languages do not, presenting significant difficulties when gathering associations between classes. This paper presents an ongoing effort towards dealing with gathering associations by combining various type inference techniques and tools and how the authors aim to use UML models as a transition form between origin and destination programming languages, producing UML models as useful byproducts. Pharo – Smalltalk-based dynamically typed programming language is used as a case study.
Název v anglickém jazyce
Towards Generating Software Systems From Legacy Code: Gathering Associations From Smalltalk Software
Popis výsledku anglicky
Generating programming code out of models is a useful approach towards maintainable software systems, yet legacy systems have often no models at all. There are multiple ways to partially automate or aid the process of generating models out of legacy code, yet there is one kind of object-oriented programming languages substantially harder to transform – dynamically typed languages. While statically typed languages enforce programmers to explicitly state the data types of various elements, dynamically typed languages do not, presenting significant difficulties when gathering associations between classes. This paper presents an ongoing effort towards dealing with gathering associations by combining various type inference techniques and tools and how the authors aim to use UML models as a transition form between origin and destination programming languages, producing UML models as useful byproducts. Pharo – Smalltalk-based dynamically typed programming language is used as a case study.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 20th CIAO! Doctoral Consortium, and Enterprise Engineering Working Conference Forum 2020 co-located with 10th Enterprise Engineering Working Conference
ISBN
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ISSN
1613-0073
e-ISSN
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Počet stran výsledku
14
Strana od-do
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Název nakladatele
CEUR Workshop Proceedings
Místo vydání
Aachen
Místo konání akce
Bozen / Bolzano (online)
Datum konání akce
9. 11. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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